Movie Recommendation System Using Deep Learning Techniques

Abstract

Due to increase of data in online web resources Recommendation System plays a vital role. In many platforms such as music, movie, books,
videos, ecommerce for recommending the useful data. Video recommendation system provides users a very highly satisfying
recommendations which in turn increase the user stickiness to the site. A personalized recommendation system withcollaborative filtering
technique is implemented to increase the user satisfaction. This method is used to recommend movies to users depending on their historical
data on the streaming site and also by exploring the content watched by the users with similar preferences. A personalized recommendation
system using collaborative filtering with multi-layer perceptron is implemented to increase the accuracy of the system.